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The Traceability Information Management Platform of Duck Product Industry Chain

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Cloud Computing and Security (ICCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11068))

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Abstract

In response to various problems existing in the current duck product industry chain. For example, decentralized of the industry chain, lack of data exchange between each link, lack of unified information collection equipment, and so on. An intelligent information management platform for duck product chain was developed, based on the specific needs of each link of the duck and poultry industrial chain. The platform is mainly composed of the information collection equipment and the intelligent management systems. The information acquisition equipment comprehensively uses the current well-perceived and reliable transmission technology of the Internet of Things to achieve the seamless collection of information in each link of the duck product industry chain and the seamless convergence of information in each link. The intelligent management system utilizes big data analysis technology to realize internal automation and digital management. The long-term test of the system shows that the data in each link of the system seamlessly connects. The data collected by the system is accurate and reliable. Its operation is simple and convenient. The system is highly scalable and suitable for use in production.

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Acknowledgements

This work was financially supported by the following project:

(1) The research project “Major Data Application Technology Research and Integration Based on Livestock and Poultry Industry” of Shandong Province Major Agricultural Technological Innovation Project in 2017.

(2) Shandong independent innovation and achievements transformation project (2014ZZCX07106).

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Correspondence to Pingzeng Liu .

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Liu, L., Liu, P., Ren, W., Zheng, Y., Zhang, C., Wang, J. (2018). The Traceability Information Management Platform of Duck Product Industry Chain. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11068. Springer, Cham. https://doi.org/10.1007/978-3-030-00021-9_14

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  • DOI: https://doi.org/10.1007/978-3-030-00021-9_14

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  • Print ISBN: 978-3-030-00020-2

  • Online ISBN: 978-3-030-00021-9

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